Cargando…
Guided Randomness in Optimization, Volume 1.
The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated. Source-codes used for the examples are also presented,...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Wiley,
2015.
|
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated. Source-codes used for the examples are also presented, this allows a reflection on the ""superfluous chance, "" succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases |
|---|---|
| Descripción Física: | 1 online resource (320 pages) |
| ISBN: | 9781119136446 111913644X 1848218052 9781848218055 |